IEEE Transactions on Biomedical Engineering,
Journal Year:
2024,
Volume and Issue:
71(10), P. 2889 - 2899
Published: May 13, 2024
Magnetic
Particle
Imaging
(MPI)
is
a
radiation-free
tracer-based
imaging
technology
that
visualizes
the
spatial
distribution
of
superparamagnetic
iron
oxide
nanoparticles.
Conventional
encoding
methods
in
MPI
rely
on
gradient
magnetic
field
with
constant
strength
to
generate
field-free
point
or
line
for
scanning.
However,
increasing
can
enhance
theoretical
resolution
but
also
lead
decrease
Signal-to-Noise
Ratio
(SNR)
and
sensitivity
system.
This
poses
technical
challenge
balancing
sensitivity,
necessitating
intricate
hardware
design.
Wiley Interdisciplinary Reviews Nanomedicine and Nanobiotechnology,
Journal Year:
2024,
Volume and Issue:
16(5)
Published: Sept. 1, 2024
ABSTRACT
Extracellular
vesicles
(EVs),
nanosized
lipid
bilayer
released
by
nearly
all
types
of
cells,
play
pivotal
roles
as
intercellular
signaling
mediators
with
diverse
biological
activities.
Their
adaptability
has
attracted
interest
in
exploring
their
role
disease
biomarker
theranostics.
However,
the
vivo
biodistribution
and
pharmacokinetic
profiles
EVs,
particularly
following
administration
into
living
subjects,
remain
unclear.
Thus,
imaging
is
vital
to
enhance
our
understanding
homing
retention
patterns,
blood
tissue
half‐life,
excretion
pathways
exogenous
thereby
advancing
real‐time
monitoring
within
systems
therapeutic
applications.
This
review
examines
state‐of‐the‐art
methods
including
EV
labeling
various
agents,
optical
imaging,
magnetic
resonance
nuclear
imaging.
The
strengths
weaknesses
each
technique
are
comprehensively
explored,
emphasizing
clinical
translation.
Despite
potential
EVs
cancer
theranostics,
achieving
a
thorough
behavior
challenging.
highlights
urgency
addressing
current
questions
biology
applications
EVs.
It
underscores
need
for
continued
research
unravel
complexities
surrounding
implications.
By
identifying
these
challenges,
this
contributes
ongoing
efforts
optimize
techniques
use.
Ultimately,
bridging
gap
between
advancements
will
facilitate
integration
EV‐based
marking
crucial
step
toward
harnessing
full
medical
practice.
International Journal of Nanomedicine,
Journal Year:
2023,
Volume and Issue:
Volume 18, P. 3663 - 3694
Published: July 1, 2023
Abstract:
Glioblastoma
(GBM),
a
highly
aggressive
form
of
brain
cancer,
is
considered
one
the
deadliest
cancers,
and
even
with
most
advanced
medical
treatments,
affected
patients
have
poor
prognosis.
However,
recent
advances
in
nanotechnology
offer
promising
avenues
for
development
versatile
therapeutic
diagnostic
nanoplatforms
that
can
deliver
drugs
to
tumor
sites
through
blood-brain
barrier
(BBB).
Despite
these
breakthroughs,
use
GBM
therapy
has
been
subject
great
controversy
due
concerns
over
biosafety
nanoplatforms.
In
years,
biomimetic
gained
unprecedented
attention
biomedical
field.
With
advantages
such
as
extended
circulation
times,
improved
immune
evasion
active
targeting
compared
conventional
nanosystems,
bionanoparticles
shown
potential
applications.
this
prospective
article,
we
endeavor
comprehensively
review
application
bionanomaterials
treatment
glioma,
focusing
on
rational
design
multifunctional
facilitate
BBB
infiltration,
promote
efficient
accumulation
tumor,
enable
precise
imaging,
achieve
remarkable
suppression.
Furthermore,
discuss
challenges
future
trends
Through
careful
optimization
nanoplatforms,
researchers
are
paving
way
toward
safer
more
effective
therapies
patients.
The
nanoplatform
applications
glioma
avenue
precision
medicine,
which
could
ultimately
improve
patient
outcomes
quality
life.
Graphical
Keywords:
nanomedicine,
bionanotechnology,
therapy,
drug
delivery
system
IEEE Transactions on Biomedical Engineering,
Journal Year:
2024,
Volume and Issue:
71(8), P. 2528 - 2536
Published: March 18, 2024
Magnetic
Particle
Imaging
(MPI)-guided
Fluid
Hyperthermia
(MFH)
has
the
potential
for
widespread
utilization,
as
it
allows
prediction
of
magnetothermal
dosage,
real-time
visualization
thermal
therapy
process,
and
precise
localization
lesion
area.
However,
existing
MPI-guided
MFH
(MPI-MFH)
method
is
insensitive
to
concentration
gradients
magnetic
nanoparticles
(MNPs)
susceptible
causing
damage
normal
tissues
with
high
MNP
concentrations
during
treatment,
while
inadequately
heating
tumor
lower
concentrations.
In
this
work,
we
established
a
relationship
between
efficiency
through
simulations
phantom
measurements,
enabling
optimal
selection
parameters
guided
by
MPI.
Based
on
these
findings,
developed
high-gradient
field
MPI-MFH
using
fieldfree
point
(FFP)
approach
achieve
local
heating.
Phantom
experiments
in
vivo
glioma
model
were
conducted
validate
proposed
method.
The
results
demonstrated
that
MPIMFH
can
improve
gradient
sensitivity
±1
mg/ml,
thereby
more
effective
lesion-site
without
damaging
tissues.
This
not
only
reduced
size
effectively
but
also
holds
promise
application
various
other
types
cancers.
Advanced Materials,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Oct. 15, 2024
Abstract
Magnetic
particle
imaging
(MPI)
has
emerged
as
a
novel
technology
utilizing
superparamagnetic
nanoparticles
tracers,
essential
for
disease
diagnosis
and
treatment
guidance
in
preclinical
animal
models.
Unlike
other
modalities,
MPI
provides
high
sensitivity,
deep
tissue
penetration,
no
signal
attenuation.
However,
existing
tracers
suffer
from
“always‐on”
signals,
which
complicate
organ‐specific
hinder
accuracy.
To
overcome
these
challenges,
we
have
developed
responsive
tracer
using
pH‐responsive
PdFe
alloy
particles
coated
with
gatekeeper
polymer.
This
exhibits
pH‐sensitive
Fe
release
modulation
of
the
signal,
enabling
selective
higher
signal‐to‐noise
ratio
intratumoral
pH
quantification.
Notably,
this
facilitates
subtraction‐enhanced
imaging,
effectively
eliminating
interference
liver
uptake
expanding
scope
abdominal
imaging.
Additionally,
employs
dual‐function
mechanism
adaptive
cancer
therapy,
combining
pH‐switchable
enzyme‐like
catalysis
dual‐key
co‐activation
ROS
generation,
Pd
skeleton
that
scavenges
free
radicals
to
minimize
Fe‐related
toxicity.
advancement
promises
significantly
expand
MPI's
applicability
diagnostics
therapeutic
monitoring,
marking
leap
forward
technology.
Physics in Medicine and Biology,
Journal Year:
2023,
Volume and Issue:
68(24), P. 245016 - 245016
Published: Oct. 27, 2023
Objective.
Real-time
reconstruction
of
magnetic
particle
imaging
(MPI)
shows
promising
clinical
applications.
However,
prevalent
methods
are
mainly
based
on
serial
iteration,
which
causes
large
delay
in
real-time
reconstruction.
In
order
to
achieve
lower
latency
MPI
reconstruction,
we
propose
a
parallel
method
for
accelerating
the
speed
methods.Approach.
The
proposed
method,
named
adaptive
multi-frame
iterative
(AMPIM),
enables
processing
signals
images
parallel.
To
facilitate
computing,
further
an
acceleration
strategy
computation
improve
computational
efficiency
our
AMPIM.Main
results.
OpenMPIData
was
used
evaluate
AMPIM,
and
results
show
that
AMPIM
improves
frame
rate
per
second
by
two
orders
magnitude
compared
algorithms
including
Kaczmarz
algorithm,
conjugate
gradient
normal
residual
alternating
direction
multipliers
algorithm.
reconstructed
image
using
has
high
contrast-to-noise
with
reducing
artifacts.Significance.
can
parallelly
optimize
least
squares
problems
multiple
right-hand
sides
exploiting
dimension
side.
great
potential
application
rate.
Cardiovascular Research,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Dec. 10, 2024
Abstract
Aims
The
maximum
aortic
diameter
remains
the
diagnostic
criteria
and
indicator
for
prognosis
prediction
of
abdominal
aneurysms
(AAAs).
An
additional
imaging
modality
is
currently
needed
to
help
evaluate
AAA
as
well
early
detection
formation.
This
study
evaluated
most
effective
inflammatory
markers
using
single-cell
sequencing
and,
from
these,
developed
probes
facilitate
in
vivo
multimodal
inflammation.
Methods
results
Single-cell
RNA
(scRNAseq)
human
aneurysms,
GSE155468
GSE166676
data
sets,
identified
CXCR4
representative
marker.
Anti-CXCR4-PE
antibody
was
conjugated
superparamagnetic
iron
oxide
nanoparticles
synthesize
Fe3O4-anti-CXCR4-PE
probes.
biocompatibility
specificity
were
validated
vitro.
Magnetic
particle
(MPI)
fluorescence
(FLI)
performed
assess
inflammation
advanced
mouse
models.
CXCR4-specific
receptor
inhibitor,
AMD3100,
used
confirming
an
excellent
target
therapy.
scRNAseq
indicated
that
chemokine-related
pathways
upregulated
chemokine
marks
all
AAA-related
immune
cells
vascular
cells.
effectively
recognized
cells,
strong
MPI
FLI
signals
corresponded
increased
CXCR4,
CD45,
CD68
levels
represented
severity
rupture
risk.
Importantly,
can
identify
formation
when
ultrasound
undiagnosable.
Finally,
AMD3100
treatment
model
inhibited
expansion
reduced
wall
by
inhibiting
accumulation
haematopoietic
stem
Conclusion
associated
with
a
AAA.
CXCR4-targeting
MPI/FLI
provides
novel
approach
detection.